Producing printed images having personalized features
View Patent ↗A method for personalizing an image-based physical manifestation to conform with user preferences for image processing. In one implementation, the method includes identifying an image for processing, identifying user preferences for image processing and processing the image including manipulating image data for the image in accordance with the user preferences.
1. A personalization architecture for producing a personalized image-based product based on an input digital image, comprising:
a personal preference layer including one or more personal preference selections, wherein the personal preference layer defines a first image operation to be applied to a digital image in accordance with the selection of the personal preferences;
an image adjustment layer including one or more image adjustment selections, wherein the image adjustment layer defines a second image operation to be applied to a digital image in accordance with the selection of the image adjustments;
an image preference layer including one or more image preference selections, wherein the image preference layer defines a third image operation to be applied to a digital image in accordance with the selection of the image preferences, wherein the first image operation, the second image operation, and the third image operation can be applied to the input digital image to produce a processed digital image to be used for producing the image-based product; and
a scene illumination layer including one or more scene illumination selections, wherein the scene illumination layer defines a fourth image operation to be applied to a digital image in accordance with the selection of the scene illuminations.
2. The personalization architecture of claim 1 , wherein the personal preference selections include preferences for tone to be used in processing the image.
3. The personalization architecture of claim 1 , wherein the personal preference selections include preferences for color to be used in processing the input digital image.
4. The personalization architecture of claim 1 , wherein the image preference selections include a style specification, the style specification defining a group of one or more individual preferences to be applied to the input digital image.
5. The personalization architecture of claim 1 , wherein the personal preference selections include a style specification, the style specification defining a group of one or more individual preferences to be applied to the input digital image.
6. The personalization architecture of claim 1 , wherein the input digital image is received by a server at a web site from a remote computer.
7. The personalization architecture of claim 6 , wherein at least one of the first image operation, the second image operation, and the third image operation can be applied to the input digital image at the web site to produce the processed digital image.
8. The personalization architecture of claim 7 , wherein a preview image of the image-based product is generated using the processed digital image.
9. The personalization architecture of claim 8 , wherein the preview image of the image-based product is sent to a remote computer from the web site.
10. The personalization architecture of claim 1 , wherein at least one of the first image operation, the second image operation, and the third image operation can be applied to the input digital image without a user selecting one of the personal preferences, image adjustments, or image preferences.
11. The personalization architecture of claim 1 , wherein the first image operation can be applied to the input digital image in accordance with a personal preference that is inferred from the usage information of a user.
12. The personalization architecture of claim 1 , wherein the first image operation can be applied to the input digital image in accordance with a personal preference selected by a user.
13. The personalization architecture of claim 1 , wherein the image preferences include one or more image styles.
14. The personalization architecture of claim 1 , wherein the personal preferences can be applied to a plurality of image-based products produced for a user.
15. The personalization architecture of claim 1 , wherein at least one of the image preferences is determined by the image content of the input digital image.
16. The personalization architecture of claim 1 , wherein at least one of the first image operation, the second image operation, and the third image operation includes an image transform based on an ICC (International Color Consortium) profile.
17. The personalization architecture of claim 1 , further comprising a database configured to store one or more of the personal preferences, image adjustments, or image preferences.
18. The personalization architecture of claim 1 , wherein the selection of the scene illuminations includes a selection for input ambient conditions.
19. The personalization architecture of claim 1 , wherein the selection of the scene illuminations includes a selection for color balance.
20. The personalization architecture of claim 1 , wherein the image preference selections include a selection for image effects.
21. The personalization architecture of claim 1 , wherein the input digital image is received from a first user and the image-based product is sent to a second user.
22. The personalization architecture of claim 1 , wherein at least one personal preference is obtained from a user's use history on a web browser.
23. The personalization architecture of claim 1 , further comprising a camera type layer including one or more camera type selections, wherein the camera type layer defines a fourth image operation to be applied to a digital image in accordance with the selection of the camera types.
24. A method for producing a personalized image-based product based on an input digital image, comprising:
applying a first image operation, a second image operation, and a third image operation to the input digital image to produce a processed digital image to be used for producing the image-based product, wherein the first image operation is applied in accordance with the selection of personal preferences in a personal preference layer, wherein the second image operation is applied in accordance with the selection of image adjustments in an image adjustment layer, and wherein the third image operation is applied in accordance with the selection of image preferences in an image preference layer,
wherein the personal preference is acquired from the user history on a web browser.
25. The method of claim 24 wherein the personal preference is acquired from a database.
26. The method of claim 24 , further comprising:
producing the image-based product using the processed digital image; and
sending the image-based product to a user.